Ramaseshan Kannan

Ramaseshan Kannan is an Associate Director at Arup, leading initiatives in deeptech and computational science. They previously served as a Royal Academy of Engineering Industrial Fellow at the University of Cambridge, focusing on uncertainty quantifying algorithms. At Arup, Ramaseshan managed key computational engines for commercial software and led research collaborations on novel algorithms. They hold a PhD in Numerical Linear Algebra from The University of Manchester, where their research interests include numerical analysis and high-performance computing.